Create app.py

app.py

@@ -0,0 +1,14 @@
+import gradio as gr
+from transformers import pipeline
+
+english_model = pipeline("text-classification", model="mrgmd01/Finetuned_siebert-sentiment-roberta-large-english")
+urdu_model = pipeline("text-classification", model="mrgmd01/SA_Model_bert-base-multilingual-uncased")
+
+def predict(text, language):
+    if language == "urdu" or language == "roman_urdu":
+        result = urdu_model(text)[0]
+    else:
+        result = english_model(text)[0]
+    return {"label": result["label"], "score": result["score"]}
+
+gr.Interface(fn=predict, inputs=["text", "text"], outputs="json", api_name="predict").launch()